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Examples

Below is a list of tutorials that you can use to learn more about the different pieces of Ray Serve functionality and how to integrate different modeling frameworks.

Serve Examples

• Serving ML Models (Tensorflow, PyTorch, Scikit-Learn, others)
• Batching Tutorial
  • Define the Deployment
  • Deploy the Deployment
  • Deploy the Deployment using Python API
• Serving RLlib Models
• Building a Gradio demo with Ray Serve
  • Deploying a model with Ray Serve
  • Defining and launching a Gradio interface
  • Building a Gradio app from a Scikit-Learn model
  • Conclusion

Other Topics:

• Deploying Ray Serve

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Serve Architecture

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Serving ML Models (Tensorflow, PyTorch, Scikit-Learn, others)